Playing with perf today! It's really interesting to see low-level details of where compute time is going. Branch prediction works well most of the time! (At least for this workload.)
Based on https://jvns.ca/blog/2014/05/13/profiling-with-perf/ and
miniblog.
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I've been playing with Obsidian and having a great time. It's fundamentally a .md editor but it has so many affordances that it feels different. Link autocompletion, highlighting backreferences, polished mobile app.
A lot of teaching resources focus on folder structure, oddly.
After further playing with my LLM project, I'm surprised how hard it is to tune with system prompts.
My agent kept saying "obviously" even though my prompt said "helpful, professional". Eventually I found that a "courteous" prompt gets "of course" which is better but not ideal.
I'm playing with Zeal/Dash so I can view stdlib docs offline.
(I've been coding on public transport recently, without a reliable data connection.)
Anyone have tips for making the most of this setup? AFAICT docsets are basically HTML underneath.
